Physician performance measurement is becoming essential for quality improvement and demonstrating value to payers. However, most family medicine offices do not currently measure the care they provide. The article describes how to implement performance measurement in a way that minimizes burden by collecting data prospectively as a byproduct of patient care. Key tools for performance measurement are flow sheets and registries, which help track patients and identify those needing services. Electronic health records can also facilitate performance measurement by incorporating measures into templates.
Outline of ideas to advance the science of transforming health care organizations. 81. “Advancing Transformational Science”, Bridges to Sustainable Healthcare Transformation Through Evidence, Partnerships & Technology: 19th International Conference San Francisco, CA, January 19-22, 2011.
Outline of ideas to advance the science of transforming health care organizations. 81. “Advancing Transformational Science”, Bridges to Sustainable Healthcare Transformation Through Evidence, Partnerships & Technology: 19th International Conference San Francisco, CA, January 19-22, 2011.
Soccnx III - Using Social for social good - the case for Social Business in H...LetsConnect
Speakers: Bill Looby
"Social Business for Healthcare Social is everywhere. Patients and providers are living in a socially networked world. Healthcare is a social business. Are you ready? Social businesses leverage collaboration capabilities to connect people and break down traditional boundaries. They activate networks of people that apply relevant content and expertise to improve and accelerate how work gets done. This is a demonstration of social business capabilities applied to healthcare for improved patient outcomes and efficiency of care delivery. See examples of connecting providers across acute and ambulatory care settings in new ways via social business technologies and open standards. Featured technologies include IBM Connections social business software for healthcare and IBM InfoSphere® HC solutions built on Initiate® technology.
Studying Healthcare Data to Evaluate Corporate Benefits - Jodi Fuller, MeadWe...HR Network marcus evans
Jodi Fuller, a speaker at the marcus evans Corporate Benefits Summit 2013, discusses how organizations can lower their employee healthcare costs.
Interview with: Jodi Fuller, Director, Global Benefits, MeadWestvaco Corporation
Analytics-Driven Healthcare: Improving Care, Compliance and CostCognizant
In the face of skyrocketing costs, the healthcare industry is addressing inefficiencies by improving data sharing and collaboration across the industry value chain and applying analytics to improve operations and patient outcomes.
This White Paper discusses the intersection of the corporate onus of performance measurement data collection and reporting with that of health information technology. KSA shares its thoughts on the planning for the future-state architecture for efficient and effective performance measurement.
This KSA White Paper by Jason Oliveira, a Principal with KSA, discusses the intersection between the corporate onus of performance measurement and healthcare information technology. Planning towards and efficient and efffective performance measurement architecture.
What Lies Ahead for ONC: Meaningful Use and BeyondBrian Ahier
Farzad Mostashari, MD, ScM serves as Deputy National Coordinator for Programs and Policy within the Office of the National Coordinator for Health Information Technology at the U.S. Department of Health and Human Services.
Soccnx III - Using Social for social good - the case for Social Business in H...LetsConnect
Speakers: Bill Looby
"Social Business for Healthcare Social is everywhere. Patients and providers are living in a socially networked world. Healthcare is a social business. Are you ready? Social businesses leverage collaboration capabilities to connect people and break down traditional boundaries. They activate networks of people that apply relevant content and expertise to improve and accelerate how work gets done. This is a demonstration of social business capabilities applied to healthcare for improved patient outcomes and efficiency of care delivery. See examples of connecting providers across acute and ambulatory care settings in new ways via social business technologies and open standards. Featured technologies include IBM Connections social business software for healthcare and IBM InfoSphere® HC solutions built on Initiate® technology.
Studying Healthcare Data to Evaluate Corporate Benefits - Jodi Fuller, MeadWe...HR Network marcus evans
Jodi Fuller, a speaker at the marcus evans Corporate Benefits Summit 2013, discusses how organizations can lower their employee healthcare costs.
Interview with: Jodi Fuller, Director, Global Benefits, MeadWestvaco Corporation
Analytics-Driven Healthcare: Improving Care, Compliance and CostCognizant
In the face of skyrocketing costs, the healthcare industry is addressing inefficiencies by improving data sharing and collaboration across the industry value chain and applying analytics to improve operations and patient outcomes.
This White Paper discusses the intersection of the corporate onus of performance measurement data collection and reporting with that of health information technology. KSA shares its thoughts on the planning for the future-state architecture for efficient and effective performance measurement.
This KSA White Paper by Jason Oliveira, a Principal with KSA, discusses the intersection between the corporate onus of performance measurement and healthcare information technology. Planning towards and efficient and efffective performance measurement architecture.
What Lies Ahead for ONC: Meaningful Use and BeyondBrian Ahier
Farzad Mostashari, MD, ScM serves as Deputy National Coordinator for Programs and Policy within the Office of the National Coordinator for Health Information Technology at the U.S. Department of Health and Human Services.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
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Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
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The Gram stain is a fundamental technique in microbiology used to classify bacteria based on their cell wall structure. It provides a quick and simple method to distinguish between Gram-positive and Gram-negative bacteria, which have different susceptibilities to antibiotics
2. Physicians are understandably concerned
about the burden that data collection
can create for their practices.
What do I measure? What tools do I need?
Performance measures have been developed Performance measurement doesn’t have to
for most common chronic diseases and for mean sitting down with a mountain of charts
preventive care. These measures generally are and sifting through old notes to find the
designed to assess the number of patients who information you need. To minimize the extra
receive recommended care compared with work, data should be collected prospectively,
the number of patients who should receive with multiple members of the care team
that care. The list on the next page describes playing a role.
Measuring your a “starter set” of 26 measures endorsed by For example, fall-prevention screenings
performance will
the Ambulatory Quality Alliance, or AQA. can be conducted by anyone in the office and
show you where
The AAFP, along with the American College recorded on a data sheet before or after the
improvement is
needed and enable
of Physicians, America’s Health Insurance physician sees the patient. Similarly, when
you to demonstrate Plans (the trade association for health plans) rooming patients who have diabetes, a nurse
your value to payers. and the Agency for Healthcare Research and or medical assistant could record measures
Quality, founded AQA with the goal of iden- such as A1C, LDL and blood pressure. Of
tifying a small set of performance measures course, the physician should have the final
that can be used broadly throughout the responsibility for making sure the information
Pay-for-perfor- health care system. Widespread use of these is correct and for ensuring that data on medi-
mance programs measures by health plans will allow physicians cations such as ACE inhibitors, angiotensin-
and tiered provider to focus on a few standard indicators rather receptor blockers (ARBs) and beta blockers
networks, which than having to track different measures for is current.
may rely on inaccu- different initiatives. Two types of tools can be particularly help-
rate or incomplete
If you plan to participate in a pay-for-per- ful in performance measurement:
data gleaned from
formance initiative through a health plan or Flow sheets. The Physician Consortium
claims, are becom-
ing more common.
other organization, you’ll want to adopt the for Performance Improvement convened by
measures that the program requires. If you the American Medical Association has devel-
simply want to begin measuring your perfor- oped prospective data collection flow sheets
mance for your own internal improvement for 16 clinical conditions that incorporate
Collecting data purposes, the AQA measures may provide evidence-based performance measures (http://
prospectively as a a good starting point. It may work best to www.ama-assn.org/ama/pub/category/4837.
by-product of the implement just a few of these initially and html). These prospective data collection
care you deliver wait to introduce others until you’re confident sheets can also serve as reminder checklists
minimizes the bur- that the systems you’ve put in place to capture to assure that all care team members know
dens associated the data are working well. what needs to be done when the patient is
with measuring Other resources for performance measures in the office.
your performance.
are the National Quality Forum, which offers Registries. A registry is essentially a list
a set of 42 measures for ambulatory care, and of your patients who have a particular dis-
the National Quality Measures Clearinghouse,
which provides comprehensive information
on evidence-based measures developed by About the Author
multiple organizations throughout health care. Dr. Bagley is the AAFP’s medical director of quality
These and other resources that will help you improvement. He was formerly in private practice
start measuring your performance are listed for more than 25 years in Latham, N.Y. Author dis-
on page 62. closure: nothing to disclose.
60 | FAMILY PRACTICE MANAGEMENT | www.aafp.org/fpm | July/August 2006
3. PERFORMANCE ME ASUREMENT
A STARTER SET OF PERFORMANCE MEASURES
The Ambulatory Quality Alliance endorsed this set of performance measures, which includes measures developed by the AMA
Physician Consortium and the National Committee for Quality Assurance. Each of the measures has also been endorsed by the
National Quality Forum. For further details on each of the measures, visit http://www.aqaalliance.org/performancewg.htm.
Prevention measures 17. LDL cholesterol level (<130 mg/dL): The percentage of
patients with diabetes with the most recent LDL at less than 100
1. Breast cancer screening: The percentage of women who had
mg/dL or less than 130 mg/dL.
a mammogram during the measurement year or year prior to
the measurement year. 18. Eye exam: The percentage of patients who received a retinal
or dilated eye exam by an eye care professional (optometrist or
2. Colorectal cancer screening: The percentage of adults who
ophthalmologist) during the reporting year or during the prior
had an appropriate screening for colorectal cancer.
year if patient is at low risk for retinopathy.
3. Cervical cancer screening: The percentage of women who
had one or more Pap tests during the measurement year or the Asthma
two prior years. 19. Use of appropriate medications for people with asthma: The
4. Tobacco use: The percentage of patients who were queried percentage of individuals who were identified as having persis-
about tobacco use one or more times during the two-year mea- tent asthma during the year prior to the measurement year and
surement period. who were appropriately prescribed asthma medications (e.g.,
inhaled corticosteroids) during the measurement year.
5. Advising smokers to quit: The percentage of patients who
received advice to quit smoking. 20. Asthma: pharmacologic therapy: The percentage of all
individuals with mild, moderate or severe persistent asthma
6. Influenza vaccination: The percentage of patients age 50 to
who were prescribed either the preferred long-term control
64 who received an influenza vaccination.
medication (inhaled corticosteroid) or an acceptable alternative
7. Pneumonia vaccination: The percentage of patients who treatment.
received a pneumococcal vaccine.
Depression
Coronary artery disease (CAD)
21. Antidepressant medication management (acute phase): The
8. Drug therapy for lowering LDL cholesterol: The percentage of percentage of adults who were diagnosed with a new episode
patients with CAD who were prescribed a lipid-lowering therapy. of depression and treated with an antidepressant medication
9. Beta-blocker treatment after heart attack: The percentage of and remained on an antidepressant drug during the entire 84-
patients hospitalized with acute MI who received an ambulatory day (12-week) acute treatment phase.
prescription for beta-blocker therapy (within 7 days discharge). 22. Antidepressant medication management (continuation
10. Beta-blocker therapy, post MI: The percentage of patients phase): The percentage of adults who were diagnosed with a
hospitalized with acute MI who received persistent beta-blocker new episode of depression and treated with an antidepressant
treatment (6 months after discharge). medication and remained on an antidepressant drug for at least
180 days (6 months).
Heart failure
Prenatal care
11. ACE inhibitor/ARB therapy: The percentage of patients with
heart failure who also have LVSD who were prescribed ACE 23. Screening for human immunodeficiency virus (HIV): The per-
inhibitor or ARB therapy. centage of patients who were screened for HIV infection during
the first or second prenatal visit.
12. LVF assessment: The percentage of patients with heart failure
with quantitative or qualitative results of LVF assessment recorded. 24. Anti-D immune globulin: The percentage of D (Rh) negative,
unsensitized patients who received anti-D immune globulin at
Diabetes 26 weeks to 30 weeks gestation.
13. A1C management: The percentage of patients with diabetes Quality measures addressing
with one or more A1C test(s) conducted during measurement year. overuse or misuse
14. A1C management control: The percentage of patients with 25. Appropriate treatment for children with upper respiratory
diabetes with the most recent A1C level greater than 9 percent infection (URI): The percentage of patients who were given a
(poor control). diagnosis of URI and were not dispensed an antibiotic prescrip-
15. Blood pressure management: The percentage of patients tion on or three days after the episode date.
with diabetes who had their blood pressure documented in the 26. Appropriate testing for children with pharyngitis: The per-
past year at less than 140/90 mm Hg. centage of patients who were diagnosed with pharyngitis, pre-
16. Lipid measurement: The percentage of patients with diabetes scribed an antibiotic and who received a group A streptococcus
with at least one LDL cholesterol test (or all component tests). test for the episode.
July/August 2006 | www.aafp.org/fpm | FAMILY PRACTICE MANAGEMENT | 61
4. Performance measurement doesn’t have to mean
sitting down with a mountain of charts and sifting
through old notes to find the information you need.
ease. With any measurement there must be
EHRs and performance measurement
a numerator (how many patients received
the recommended care) and a denominator If you use an electronic health record (EHR),
(how many patients should have received that performance measures will need to be built
care), and a registry helps establish these. It into the templates you use to record office vis-
also helps office staff identify patients who its or document the care of chronic conditions.
are overdue for recommended services, and it EHR vendors are well aware of the need for
facilitates contacting them and arranging for this functionality, so it is likely to be available
The key tools of office visits, lab monitoring, referrals or other soon in new products and enhancements to
performance mea-
needed care. Registries can be developed using existing systems. Many systems already offer
surement are flow
sheets and regis-
readily available software. The FPM Toolbox registry functions; however, some program-
tries that help you
includes a ready-made spreadsheet developed ming may be necessary to incorporate the per-
track patients and with Microsoft Excel; it can be downloaded formance measures you have adopted.
identify those who at no charge from http://www.aafp.org/ If you don’t have an EHR yet but antici-
need particular fpm/20060400/diabetesregistry.xls. pate purchasing one, it may be tempting to
services. wait until then to start
measuring your per-
formance. However, a
RESOURCES FOR PERFORMANCE MEASUREMENT better approach would
Many EHRs have The organizations listed below provide tools that facilitate data be to take the time
this functional- collection, analysis and improvement. now to put in place
ity or will in the office routines to col-
near future; in AAFP data collection tools for Centers for Medicare & Medicaid
Services Physician Voluntary Reporting Program (PVRP)
lect and report clinical
some cases, it’s
just a matter of http://www.aafp.org/pvrptools.xml performance measures,
modifying existing Forms for use by physicians and coding and billing staff that col-
so the habit will be
templates. lect data on the seven measures included in the PVRP program.
established before you
implement an EHR.
Ambulatory Quality Alliance
http://www.aqaalliance.org/performancewg.htm
A starter set of 26 performance measures for ambulatory care.
How do I report
Health plans will
the data?
increasingly expect National Quality Forum
physicians to http://www.qualityforum.org Although health
measure their own plans currently rely
A set of 42 performance measures for ambulatory care.
performance and mostly on claims data
report the data The National Quality Measures Clearinghouse to measure physician
using Web portals http://www.qualitymeasures.ahrq.gov performance, in the
or other tools. A database of evidence-based measures developed by multiple future they will expect
organizations throughout health care. physicians to report
The Physician Consortium for Performance Improvement their own data as well.
http://www.ama-assn.org/ama/pub/category/4837.html Of the various sys-
Prospective data-collection flow sheets for 16 clinical conditions tems that have been
that incorporate evidence-based performance measures. proposed to facilitate
physicians’ reporting
of clinical data to
62 | FAMILY PRACTICE MANAGEMENT | www.aafp.org/fpm | July/August 2006
5. PERFORMANCE ME ASUREMENT
THE CENTERS FOR MEDICARE & MEDICAID SERVICES
PHYSICIAN VOLUNTARY REPORTING PROGRAM
In January 2006, the Centers for Medicare & Medicare Services (CMS) instituted the Physician Vol-
untary Reporting Program (PVRP) to collect performance measurement data for seven primary care
clinical measures. This program signals a trend toward physician reporting of clinical performance
data not only for CMS but for other payers as well. Although this program is currently voluntary, it
seems clear that within one to two years some Medicare payment will be attached to the reporting
of these same measures or additional measures.
The AAFP has designed a one-page prospective data collection sheet to lighten the burden as
much as possible and help assure that Medicare patients with the appropriate criteria have the
required data collected at the time of the visit. The data collection sheet can be inserted in the chart
by the front desk person at the time of check-in or by the nurse as he or she records the reason for
the visit and vital signs. In offices that already have electronic health records, this same function can
be incorporated into a template and attached to the visit for the day.
In either case, the information collected from the patient visit must be available to the coder when
The first steps
the bill is prepared for submission to the Medicare carrier, as the PVRP program requires the sub-
in performance
mission of G codes. The Academy has provided a separate data-collection sheet that can be used measurement are
by the coding and billing staff to match the physician’s data-collection sheet to the correct G code picking a clinical
and to verify documentation. condition to focus
on and gathering
Download PDF versions of both data-collection forms from http://www.aafp.org/pvrptools.xml.
the necessary tools.
health plans or other parties, two systems 1. Pick a condition that is prevalent in
seem most likely to be developed for this your office and offers an opportunity for sub- Create a work
purpose: stantial improvement in care (e.g., diabetes, group to develop
1) Payers could create Web portals where phy- asthma or preventive services). and implement
sicians or their staff members would log on and 2. Go to the AMA Physician Consortium the data collection
procedures.
simply input data drawn from patient records. for Performance Improvement Web site
2) Payers could create additional codes that (http://www.ama-assn.org/ama/pub/category/
would be integrated into the claims submis- 4837.html) and download the prospective
sion process. The Centers for Medicare & data collection form.
Then collect the
Medicaid Services (CMS) is already taking 3. Assemble a small, task-oriented work data, share results
this approach with its Physician Voluntary team to analyze office flow and look at indi- with the care team
Reporting Program, which uses supplemental vidual care team member responsibilities for and target areas for
G codes to collect performance data from completing the flow sheet. improvement.
physicians on seven measures (see the box 4. Collect the data. Keep one copy for
above for more information). the chart and save one copy for data analysis
The data entry necessary to make systems like or reporting. If you are using an EHR system,
these work requires additional staff time. EHRs this same function can be accomplished
ease the data reporting burden for practices using additions or modifications to your
that can afford them because they incorporate existing templates.
templates that guide care teams to provide the 5. Look at the data and feed it back to
recommended care and capture the needed data the office care team. In most cases it will be
as a by-product of that care. The data can then obvious what needs to be done to improve
be extracted for reporting purposes. the numbers.
6. Modify office routines to improve the
results, and keep track of the data so you can
Where do I begin?
tell if things are getting better.
You and your office team are probably asking, 7. Compare your performance with that
“What do we do next?” Here is a guide to get of other physicians in your practice or com-
you started: munity and with national norms. For example,
July/August 2006 | www.aafp.org/fpm | FAMILY PRACTICE MANAGEMENT | 63
6. Although health plans currently rely on administrative
data to measure performance, in the future they will
expect physicians to report their own data.
the CMS Physician Voluntary Reporting enhanced payment. Health plans will increase
Program will provide feedback on your results their use of claims data to assess physician
compared with all other participating physi- quality and efficiency while looking for ways
Comparative data
cians. As a common set of measures is used to collect clinical data. In practices that have
will be easier to
come by as pay-
more broadly, there will be more opportuni- well-designed systems and processes, the bur-
for-performance ties for data comparison. den of data collection and reporting can be
programs grow. You now have in place the basics of your held to a minimum using tools and processes
performance improvement machine. like the ones described in this article. The
time is now to see how your practice will
“measure up.”
Why wait?
Physicians will be
well served by It is clear that collecting and reporting clinical Send comments to fpmedit@aafp.org.
having their own performance data is becoming more impor-
performance data tant for family medicine practices – both for 1. McGlynn EA, Asch SM, Adams J, Keesey J, Hicks
in the future. J, DeCristofaro A, Kerr EA. The quality of health care
guiding quality improvement efforts and for delivered to adults in the United States. N Engl J Med.
enabling participation in programs that offer 2003;348:2635-2645.
You need an operational
procedures manual.
But who has time to
create a customized
effective plan?
64 | FAMILY PRACTICE MANAGEMENT | www.aafp.org/fpm | July/August 2006